PhoenixTeam · 23 hours ago
GenAI Engineer
PhoenixTeam is a remote-first organization and applicants for this position can work from anywhere within the US. They are seeking a hands-on GenAI Engineer to design, implement, and scale generative AI solutions across real client environments, focusing on applied AI engineering and client delivery.
Business IntelligenceFinancial ServicesManagement Information SystemsSoftware Engineering
Responsibilities
Design, implement, fine-tune, and deploy generative AI and ML solutions aligned to real business use cases
Translate technical and business requirements into scalable AI architectures and implementation plans
Lead or support end-to-end AI solution delivery, from experimentation through deployment and iteration
Serve as the primary technical voice on GenAI initiatives, ensuring clarity across technical and non-technical stakeholders
Evaluate and apply appropriate models (e.g., GPT-based LLMs, BERT-style architectures, or other approaches) based on problem context
Fine-tune, integrate, and operationalize models with support from specialized teammates when needed
Contribute to decisions around model performance, cost, latency, and reliability tradeoffs
Support early MLOps practices, including deployment patterns, monitoring, and iteration
Partner closely with Value Engineers, product leaders, and clients to align AI solutions with business goals
Communicate complex technical concepts clearly to non-technical audiences
Contribute to internal knowledge sharing, patterns, and best practices for GenAI delivery
Mentor teammates and support PhoenixTeam learning and growth initiatives
Stay current on emerging GenAI techniques, tools, and platforms
Experiment with new approaches and bring practical insights back to the team
Support PhoenixTeam’s evolution in AI delivery methods, tooling, and ways of working
Qualification
Required
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field
Experience delivering technical projects that involve collaboration across stakeholders with varying technical depth
Hands-on familiarity with generative AI concepts (e.g., LLMs, fine-tuning, embeddings) and a strong desire to deepen expertise
Experience deploying or working with models on cloud platforms (AWS, Azure, or GCP)
Strong communication skills – you can explain why and how, not just what
Ability to take ownership, manage priorities, and deliver outcomes in fast-moving environments
Preferred
Exposure to MLOps practices, containerization, or model monitoring
Experience with AI/NLP applications beyond basic experimentation
Familiarity with AI evaluation methods and performance metrics
Interest in ethical AI, governance, and data security principles
Experience in regulated industries (a plus, not a blocker)
Company
PhoenixTeam
There's one way to sum up what we believe at PhoenixTeam - time is of the essence. Mortgage technology delivery is unique.
H1B Sponsorship
PhoenixTeam has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageRecent News
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